👋 Hey, I'm Shehu AbdulGaniy. Welcome to SaaS SEO Insights, where every week I dive deep into SEO and AEO strategies that B2B SaaS startups are using to drive signups from organic and AI search, so you can steal what works and skip what doesn't.

75% of Buffer's top 1,000 keywords now trigger AI Overviews in search results. But only 23% of those keywords actually cite Buffer's content.

I dug into Buffer's organic performance using Semrush to understand why, and the answer comes down to four specific keyword types, each with dramatically different AI citation rates.

Buffer pulls in 565,000 monthly organic visitors across 2,024 indexed pages. I analyzed their top 1,000 keywords and top 500 pages, and a clear pattern emerged: they don't try to rank for everything. They dominate four keyword categories and build deep content moats around each one.

Let's break down all four, then look at which ones are actually winning the AI Overview game.

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Now, let’s dive deep into the keyword types powering Buffer’s organic growth.

Buffer created comprehensive guides on the best times to post on every major social media platform: Instagram, TikTok, Facebook, LinkedIn, X, and YouTube.

Their Instagram guide alone drives over 52,000 monthly visitors. The TikTok guide pulls in another 35,000. 

Across all their "best time to post" content, they rank for 263 keywords and generate over 65,000 monthly visitors.

These guides work because they’re data-driven and answer a question social media managers revisit constantly. Every time someone plans a content calendar, they search this again. Targeting recurring questions (not one-time searches) creates compounding returns from a single piece of content.

Buffer has over 50 how-to articles ranking in top positions on Google:

These aren't surface-level overviews. They're step-by-step walkthroughs that show the reader exactly how to complete a task on a specific platform.

This keyword type also has the strongest AI Overview performance of all four categories (more on this below).

This is the keyword type most SaaS companies overlook entirely.

Buffer built hundreds of pages under a dedicated glossary directory on their website, each targeting a specific social media term:

100+ of Buffer's top 1,000 keywords point to glossary pages, driving over 26,000 monthly visitors combined.

New terminology surfaces in every industry constantly. When people encounter an unfamiliar term, they Google it. Buffer made sure they're the ones providing the answer.

A fair question: does someone searching "POV meaning" ever become a Buffer customer? Not directly, in most cases. But glossary content serves a brand awareness function, putting Buffer in front of potential users early in their journey and establishing it as a reference source in the social media space. The conversion path is indirect but measurable over time through branded search volume and direct traffic growth.

This one surprised me the most.

Buffer has a single "Productivity Tools" page that generates more traffic than the first three keyword types combined. It ranks #1 for "productivity tools" (a keyword with 1.83 million monthly searches) and drives approximately 249,000 monthly visitors. That's 44% of Buffer's entire organic traffic from one page.

The page also ranks #1 for "best productivity apps," "productivity software," and dozens of related terms.

This is a fundamentally different strategy from the other three. Instead of building a category of dozens or hundreds of pages, Buffer identified a single massive keyword opportunity adjacent to their core product (productivity is relevant to anyone managing social media) and created a comprehensive resource page targeting it.

Not every SaaS company has a "productivity tools" equivalent sitting in their niche. But the exercise of looking for one is worth the effort: scan for high-volume, high-intent keywords adjacent to your product category where a single authoritative resource page could capture outsized traffic.

Here's what the data revealed when I analyzed Buffer's top 1,000 keywords:

75% of those keywords now have AI Overviews appearing in search results.

Buffer gets cited in AI Overviews for 226 of those keywords, roughly 23% of their top 1,000.

Is 23% good?

For context, most SaaS websites typically see citation rates well below that. Buffer's structured, direct-answer content gives them an advantage over competitors whose content is less organized. But there's a massive gap between 23% and 75%, which means over 500 keywords where Buffer ranks but doesn't get cited in the AI Overview. That's the opportunity.

The more revealing insight is how citation rates break down by keyword type.

AI Overview Citation Rate by Keyword Type:

How-to content wins the AI Overview game by a wide margin.

The reason is structural. When someone asks "how to use Pinterest," Google's AI needs to provide a clear, sequential answer. Buffer's step-by-step format maps directly onto how AI models construct cited responses: discrete steps, direct answers, minimal ambiguity.

Glossary content comes second. Definitions are naturally structured for AI citation because they provide concise, factual answers to "what is" questions.

"Best time to post" content has the lowest citation rate. These queries involve data and nuance that change frequently. AI Overviews appear more cautious about citing content that's inherently time-sensitive.

Hope you found this helpful.

Got any thoughts on this? Let me know by replying to this email.

To your startup success,

Shehu AbdulGaniy
Founder, Your Content Mart

P.S. Know a SaaS marketer who's wondering whether AI Overviews will eat their organic traffic? Send them this issue. That 65% how-to citation rate might change how they think about their content strategy.